نتایج جستجو برای: binary genetic algorithm
تعداد نتایج: 1401413 فیلتر نتایج به سال:
abstract: â in this study, the change in the crystalline structure of gas hydrate was predicted for ternary mixture of methane-ethane-water. for this purpose, the tangent plane distance (tpd) minimization method was used. first, the calculations were performed for the binary mixtures of methane-water and ethane-water as the gas and liquid phases. the results show that for a binary mixture of th...
To prevent an exploit, the security analyst must implement a suitable countermeasure. In this paper, we consider cost-sensitive attack graphs (CAGs) for network vulnerability analysis. In these attack graphs, a weight is assigned to each countermeasure to represent the cost of its implementation. There may be multiple countermeasures with different weights for preventing a single exploit. Also,...
Most real world engineering design problems, such as cross-country water mains, include combinations of continuous, discrete, and binary value decision variables. Very often, the binary decision variables associate with the presence and/or absence of some nominated alternatives or project’s components. This study extends an existing continuous Ant Colony Optimization (ACO) algorithm to simultan...
This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genetic algorithm first. Then a binary tree based genetic algorithm is presented. This approach is illustrated by a 3D image generative example, which uses complex function expressions as chromosomes to form a binary tree,...
binary decision diagram (bdd) is a data structure proved to be compact in representation and efficient in manipulation of boolean formulas. using binary decision diagram in network reliability analysis has already been investigated by some researchers. in this paper we show how an exact algorithm for network reliability can be improved and implemented efficiently by using cudd - colorado univer...
Genetic algorithm is an effective methodology for solving combinatorial optimization problems, and numerous researchers have undertaken efforts to many kinds of improvement of GAs in order to solve problems in computer science. The clock signal and clock skew become more and more important for the circuit performance in VLSI layout design. Since there are salient shortcomings in the conventiona...
introduction: raman spectroscopy, that is a spectroscopic technique based on inelastic scattering of monochromatic light, can provide valuable information about molecular vibrations, so using this technique we can study molecular changes in a sample. material and methods: in this research, 153 raman spectra obtained from normal and dried skin samples. baseline and electrical noise were eliminat...
Cryptanalysis of cipher text by using evolutionary algorithm has gained so much interest in last few years. This paper demonstrates the use of Binary Particle Swarm Optimization with bit change mutation operator for cryptanalysis of S-DES and then compared the results with Genetic Algorithm. An experimental result shows that Binary PSO performs better than the genetic algorithms for such type o...
in practice, obtaining the global optimum for the economic dispatch {bf (ed)}problem with ramp rate limits and prohibited operating zones is presents difficulties. this paper presents a new andefficient method for solving the economic dispatch problem with non-smooth cost functions using afuzzy adaptive genetic algorithm (faga). the proposed algorithm deals with the issue ofcontrolling the ex...
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